@INPROCEEDINGS{Köh1008:Enhancements,
AUTHOR    = {Christopher {K{\"{o}}hnen} and Christian {\"{U}}berall and Florian Adamsky and Veselin Rakocevic and Muttukrishnan Rajarajan and Rudolf Jaeger},
TITLE     = "Enhancements to Statistical Protocol {IDentification} {(SPID)} for {Self-Organised} {QoS} in {LANs}",
BOOKTITLE = "ICCCN 2010 Track on Network Algorithms, Performance Evaluation and Theory (NAPET) (ICCCN 2010 NAPET)",
ADDRESS   = "Zurich, Switzerland",
DAYS      = 2,
MONTH     = 8,
YEAR      = 2010,
KEYWORDS  = "Classification; Statistical Analysis; SPID; Packet Identification;QoS;",
ABSTRACT  = "Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home environments, a system was developed, which enables self-organised QoS for unmanaged networks through host implementations - in contrast to traditional solutions without network support. It supports per-link reservation and prioritisation and works without a need for application support. One part of this system is an automated traffic identification and classification system, which is subject of this paper. An efficient set of attribute meters, based on the Statistical Protocol IDentification (SPID), was investigated, enhanced and evaluated. We improved the performance, added support for UDP protocols and real-time identification. It is shown that using our implementation efficient near real-time protocol identification on per-flow basis is possible to support self-organised resource reservation." }